Simulation and fully automatic multimodal registration of medical ultrasound

  • Authors:
  • Wolfgang Wein;Ali Khamene;Dirk-André Clevert;Oliver Kutter;Nassir Navab

  • Affiliations:
  • Imaging & Visualization Department, Siemens Corporate Research, Princeton, NJ and Chair for Computer Aided Medical Procedures, Technische Universität München, Germany;Imaging & Visualization Department, Siemens Corporate Research, Princeton, NJ;Department of Clinical Radiology, University Hospitals Munich-Grosshadern, Germany;Chair for Computer Aided Medical Procedures, Technische Universität München, Germany;Chair for Computer Aided Medical Procedures, Technische Universität München, Germany

  • Venue:
  • MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
  • Year:
  • 2007

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Abstract

The fusion of 3D freehand ultrasound with CT and CTA has benefits for a variety of clinical applications, however a lot of manual work is usually required for correct registration. We developed new methods that allow one to simulate medical ultrasound from CT in real-time, reproducing the majority of ultrasonic imaging effects. The second novelty is a robust similarity measure that assesses the correlation of a combination of multiple signals extracted from CT with ultrasound, without knowing the influence of each signal. This serves as the foundation of a fully automatic registration, which aligns a freehand ultrasound sweep with the corresponding 3D modality using a rigid or an affine transformation model, without any manual interaction. We also present the used initialization, global and local parameter optimization schemes, and validation on abdominal CTA and ultrasound imaging of 10 patients.